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Article

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Title

Arithmetically fast position transformation for view synthesis and depth estimation

Authors

[ 1 ] Instytut Telekomunikacji Multimedialnej, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2025

Published in

IEEE Access

Journal year: 2025 | Journal volume: vol. 13

Article type

scientific article

Publication language

english

Keywords
EN
  • Depth estimation
  • DIBR
  • multiview and depth
  • position transformation
  • view synthesis
Abstract

EN In this paper we present a method of fast computation of matrix transformation in the process of position transformation of objects of the scene between different, virtual or real, camera positions. The process finds extensive use in virtual view generation in Free Viewpoint Video (FVV) and virtual reality applications as well as in depth estimation algorithms. The proposed method relies on the reformulation of the matrix equation used in the process. As a result, the number of necessary arithmetic operations is reduced and some of the calculations can be reused for consecutive pixel position transformations. The presented algorithm produces identical output as an unoptimized algorithm with approximately 22% reduction of the processing time averaged over the examined representative test sequences.

Pages (from - to)

24661 - 24671

DOI

10.1109/ACCESS.2025.3537923

URL

https://ieeexplore.ieee.org/document/10869346

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Full text of article

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Access level to full text

public

Ministry points / journal

100

Impact Factor

3,4 [List 2023]

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